Self-learning and adaptive algorithms for business applications : a guide to adaptive neuro-fuzzy systems for fuzzy clustering under uncertainty conditions /

• Main Authors: Hu, Zhengbing (Author), Bodyanskiy, Yevgeniy V. (Author), Tyshchenko, Oleksii (Author)
• Format: eBook
• Language: English
• Published: Bingley, U.K. : Emerald Publishing Limited, 2019.
• Series: Emerald points.
• Subjects: Business > Data processing.; Electronic data processing.; Fuzzy systems.; Business & Economics > Research & Development.; Neural networks & fuzzy systems.

In today's data-driven world, more sophisticated algorithms for data processing are in high demand, mainly when the data cannot be handled with the help of traditional techniques. Self-learning and adaptive algorithms are now widely used by such leading giants that as Google, Tesla, Microsoft,...

Table of Contents:

• Prelims
• Introduction
• Review of the problem area
• Adaptive methods of fuzzy clustering
• Kohonen maps and their ensembles for fuzzy clustering tasks
• Simulation results and solutions for practical tasks
• Conclusion
• References.